This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Efe, M. O. Articles by Samimy, M. Search for Related Content Social Bookmarking                         What's this?

Seven tuning schemes for an ADALINE model to predict floor pressures in a subsonic cavity flow

Department of Electrical and Electronics Engineering, TOBB Economics and Technology University, Sögütözü Ankara, Turkey, onderefe{at}ieee.org

Marco Debiasi

National University of Singapore, Temasek Laboratories, Singapore

Peng Yan

Enterprise Servo Engineering, Seagate Technology, Shakopee, MN 55379, USA

Hitay Özbay

Department of Electrical and Electronics Engineering, Bilkent University, Bilkent, TR-06800, Ankara, Turkey

Mohammad Samimy

Department of Mechanical Engineering, The Ohio State University, Columbus, OH 43210, USA

This paper presents a simple yet effective one-step-ahead predictor based on an adaptive linear element (ADALINE). Several tuning schemes are studied to see whether the obtained model is consistent. The process under investigation is a subsonic cavity flow system. The experimental data obtained from the system is post-processed to obtain a useful predictor. The contribution of the paper is to demonstrate that despite the spectral richness of the observed data, a simple model with various tuning schemes can help to a satisfactory extent. Seven algorithms are studied, including the least mean squares (LMS), recursive least squares (RLS), modified Kaczmarz's algorithm (MK), stochastic approximation algorithm (SA), gradient descent (GD), Levenberg—Marquardt optimization technique (LM) and sliding mode-based tuning (SM). The model and its properties are discussed comparatively.

Key Words: ADALINE • prediction • subsonic cavity flows.

Transactions of the Institute of Measurement and Control, Vol. 31, No. 1, 97-112 (2009)
DOI: 10.1177/0142331208090964


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?